CDAO Melbourne schedule

• Translating strategy into execution
• Enterprise-wide value realisation
• Balancing governance and agility
• Enabling change through people and culture
• Building a culture of value with AI and Data Products

Foodbank Victoria is dedicated to providing food relief to vulnerable communities across Victoria. By partnering with local charity partners, schools, and councils, it ensures that nutritious food reaches those in need. Through sophisticated data analysis, Foodbank Victoria strategically allocates resources, identifies areas of high demand, and measures the impact of its initiatives. This data-driven approach enhances efficiency and maximises the reach and effectiveness of its food relief programs throughout the state.

• AI vs. Governance: How can CDAOs drive AI innovation while ensuring ethical and regulatory compliance?
• Modernisation vs. Legacy: How can data leaders upgrade infrastructure without disrupting operations?
• Talent & Skills Gap: How do you attract, retain, and upskill teams in a rapidly evolving landscape?

Moderator:

Su Jella Board Member Women’s Tennis Foundation

Speakers:

David Evans Director of Data & Analytics WorkSafe Victoria

Catherine Arnold Chief of Data Services SEEK

Tonya Higgins Head of Data and Insights Beyond Blue

Ketan Karkhanis CEO ThoughtSpot 

Join Brad Starr VP Data & AI at Informatica, for a powerful personal journey, from restoring hearing, through medical innovation to saving lives in bushfires and feeding communities through precision agriculture. In this deeply personal and forward-looking presentation, Brad shares urgent insights on why building a trusted modern data foundation is critical before AI shapes your brand, your business, and someone’s life.

Speakers:

Brad Starr VP Data & AI Informatica

Jonathon Bowring Field Engineer Informatica 

• Exploring how AI and data democratisation are reshaping business operations by enabling real-time insights and enhancing operational efficiency
• Discussing how enterprises can measure the return on investment (ROI) from AI initiatives in conjunction with data democratisation efforts
• Examining the ethical implications of leveraging AI within a democratised data framework

Moderator:

Su Jella Board Member Women’s Tennis Foundation

Speakers:

Ben Pattison CDAO Flight Centre Travel Group

Ian Jackman Former General Manager Data and Analytics Bendigo and Adelaide Bank

Dr David Black GM Data & Analytics Scentre Group

Mark (Sarge) Sergeant Head of Technology - Data Platforms Latitude Financial Services

Discover how agentic AI and a unified semantic layer accelerate trusted and governed insights for agile decision-making, moving beyond legacy BI limitations. Gain insights from Strategy as they showcase their game-changer data management solution, sharing real-world strategies for achieving faster, smarter decisions with substantial business impact, all while ensuring control and trust. Discover Strategy's bold vision for future-proofing your governed analytics strategy.

Speakers:

Cristian Gomez Data & AI Technology Lead Strategy 

Apurv Baviskar Head Data/AI Strategy, Architecture, Innovation, Product Medibank 

Eric Poulin General Manager and VP Sales Strategy

As enterprises accelerate their AI journeys, the conversation must shift from experimentation and readiness to architecting scalable, responsible AI ecosystems that drive real business transformation. This session explores how organisations can evolve into cognitive enterprises—entities that embed intelligence across workflows, decisions, and customer experiences—while ensuring that AI is ethical, transparent, and trustworthy.

AI can elevate your organisation to the next level of data intelligence, but research shows that only 4% of organisations believe their data is AI-ready. To ensure AI results you can trust, you need accurate, good quality data underpinning it. In this presentation, we’ll explore:

• The impacts of delivering data that is not AI-ready
• The essential data governance & quality considerations that will set you up for AI-success
• Practical solutions to common AI challenges such as AI bias, and lack of contextual relevance

• How can organisations shift from reactive data quality fixes to a proactive data trust strategy?
• The role of leadership in embedding data quality into enterprise culture
• Case studies of companies that improved decision-making through better data quality

AI is only as powerful as the data that fuels it—and in today’s federated, fast-changing environments, ensuring that data is accurate, consistent, and trustworthy is no small task. Legacy systems, complex migrations, and sprawling vendor ecosystems can all erode quality, creating risk at the very moment your organisation needs confidence in its insights. In this practical panel, Thomas Janssen of Judo Bank and Raja Koushik of Kinetic share how they are strengthening data foundations, streamlining architectures, and creating governance frameworks that protect trust without slowing innovation. Walk away with actionable strategies for maintaining quality, choosing the right partners, and making your data AI-ready.panellists.

Moderator:

Della Zhuang Vice President of Growth (ANZ) Ataccama

Speakers:

Thomas Janssen Head of Data Architecture & Governance Judo Bank

Raja Koushik Data Migration & Governance Manager Kinetic 

Sales Strategy

Ram Jayaraman Senior Manager - Data & Analytics Deloitte

This session delves into the delicate balance between driving innovation and ensuring robust governance within a data strategy. We’ll discuss how CDAOs can effectively allocate resources to foster innovation while maintaining strong governance and security practices.

How can you craft a data strategy that embraces technological advancements without compromising compliance, security, or operational integrity?

Key Discussion Points:

• The competing demands of innovation and governance: Challenges and benefits
• Practical strategies for prioritizing resources across both innovation and governance
• Defining the optimal balance: What does success look like, and how can it future-proof the organisation?

• The Critical Role of Data Integrity in AI Systems: Exploring how compromised data integrity can result in flawed AI models - often referred to as "bad bots” - that introduce errors and biases into financial ecosystems

• Reducing Risks in Data Pipelines feeding AI Models: Implementing strategies to maintain high-quality data inputs in AI/ML models, minimising the long-term consequences of inaccurate or corrupted data

• Establishing a Resilient Data Framework: Designing comprehensive data integrity check systems to ensure consistent, accurate, and effective AI-driven decision-making

• Insights from Real-World Applications: Analysing how leading financial institutions tackle data integrity challenges and the broader impact on their AI initiatives
• Building Trust in Data-Driven Approaches: Outlining key measures that global financial organisations can adopt to ensure their AI strategies are grounded in accurate and reliable data.

• Build the foundations: Strong AI governance
• Start small think big: Building iterative outcomes that enable strategic use cases
• Paths to production: Examples of buy and build use cases to enable delivery at scale

• Move from AI pilots to business value: what works for real adoption and impact
• Lead with data: the essentials of modern, AI-powered leadership
• Build trust: keys to responsible, governed, and ethical AI at scale

Speakers:

Naresh Teckchandani CIO Forever New

Sundar Ramaswamy Head – AI & Analytics CoE Happiest Minds Technologies

Agentic AI is not just a technical innovation—it’s a strategic one. Join Ketan Karkhanis, CEO of ThoughtSpot, to explore how enterprise leaders can align their agentic capabilities with strategic goals, ensuring that AI systems deliver measurable business outcomes.

Discussion Topics:

• AI for Master Data, Master Data for AI: How Master Data Management and AI can mutually enable and accelerate each other’s value
• Data Quality & Trust: Building a reliable data foundation to unlock confident decision-making and innovation
• Sustainability: Leveraging data to drive sustainable business outcomes and meet evolving ESG expectations and reporting obligations 

Hosted by Stibo Systems

Speakers:

Craig Rowlands General Manager Data Australian Unity

Adam Plotnikov Senior Solutions Engineer BigID 

Speakers:

Marc Ashworth General Manager Data Science & Data Product Engineering nbn Australia

Asmita Deshpande EM Data Product & Data Governance Expert nbn Australia

• Transforming the data products journey with AI Agents
• How AI Agents enable a new approach to data products engineering
• Broader opportunities for AI Agents in technology
• Positive disruption and its impact on data engineering across the industry

In this session, Esther Lim explores the evolving landscape of AI in enterprise environments and what we expect to see over the next 12 – 18 months.  From single agents supporting individual use-cases to orchestrating multiple agents to service higher value use-cases, she will cover:

• The most common challenges senior leaders face
• Examples of AI in action
• Practitioner productivity improvements
• Future AI

• What is truly new to data & analytics today?
• How do you envision and deliver robust governance frameworks for successful adoption of new data-driven technologies while ensuring ethical and responsible use of these technologies?
• Upskilling employees so they are equipped with the skills to engage with the technology, while maintaining transparency and accountability through effective governance practices.
• Examining the comprehensive costs of evolving data landscapes, including talent acquisition and retention, technology infrastructure, data quality and availability, and ethical considerations
• Is new technology creating as many challenges as it’s solving?

Moderator:

Nader Chmait Head of Data & Analytics New Aim

Panellists:

Greg Turner GM Data & Analytics Resolution Life

Rakesh Kalyankar Head of Data Services AustralianSuper

Christian Biggs Director, Data Analytics and Transformation The University of Melbourne

Benedict Chiu Director, Services Australian Research Data Commons

Ana Roy Former Head of Merchandise Analytics Kmart

Adopting AI in large, complex organisations is never straightforward. In government, the challenge is even greater: risk appetite is naturally lower, accountability expectations are higher, and citizens’ expectations are shaped by their daily interactions with global AI leaders. They rightly expect their governments to be just as competent, responsible, and responsive. That raises questions many organisations are grappling with today:

• How do you ensure AI improves both customer and employee experience?
• How do you prevent different parts of the business from running in different directions?
• How do you bring along the sceptics while supporting those ready to experiment?
• And how do you manage the flood of models coming from individuals, business units, IT, and vendors?

Yarra Valley Water set out to answer these questions by working with IM Systems (IMS), a consultancy specialising in data governance, architecture, and AI. The project involved engaging business stakeholders, establishing an AI Advisory Group, developing induction materials, and co-creating a draft AI Policy and Standard to provide guardrails for safe, trusted adoption.

Speakers:

Swati Gupta Head of Data & Analytics Yarra Valley Water

Anshu Singh Data Governance Manager Yarra Valley Water

George Bassili Managing Partner IMS 

• From Pilot to Performance — how top tech leaders are delivering enterprise-ready AI agents that drive measurable business outcomes  
• Blueprints for Scale — how to embed resilient agentic architecture without disrupting existing infrastructure
• Governance in Motion — how to stay in control as AI agents grow more autonomous
• Scaling with Sanity — maximise AI impact without blowing budgets, compromising compliance, or introducing tech debt 

• Building a Strong Foundation: Establishing key pillars like data quality, governance, and interconnected ecosystems to craft scalable, high-impact data strategies
• Addressing the complexities of fragmented, outdated systems while integrating diverse data sources to drive transparency and unlock new value
• Exploring how generative AI and advanced analytics can enhance traditional approaches, delivering both operational efficiency and strategic growth opportunities

Moderator: 

Bismi Palatty Manager, Data Platforms and Integrations Alfred Health

Speakers:

Tracy Moore General Manager of AI & Data MYOB

Xavier Varalda General Manager Data, Analytics & Data Governance Sigma Healthcare

Sveta Freidman Global GM, Data & Analytics /VP of Data & Analytics Xero

Raja Koushik Data Migration and Governance Manager Kinetic Group 

• What are the challenges you are facing with literacy today?
• Strategy and road mapping for your organisation
• What are your processes for keeping the organisation up-to-date?

Moderator:
Peta Stevenson Group Head of Data and Analytics Cbus Super Fund

Speakers:

Mark Gu Group Manager Advanced Analytics St John of God Health Care

Nader Chmait Head of Data & Analytics New Aim

Katie Bayley Head of Insights & Analytics City of Melbourne

Melroy Vanlangenberg Head of Data Governance Australian Unity 

• Is Generative AI really revolutionising data and analytics, driving business innovation and value?
• What are the key trends and forces shaping the integration of Generative AI into business processes
• Learn practical strategies for adapting data practices to support effective AI system development
• Discover actionable insights for redesigning business models and strategies to fully leverage AI capabilities

• What is cross shop?
• Implementation and measuring cross shop
• How they can be implemented in a physical retail format and online
• Informative ways to measure performance for key stakeholders
• Value to the business

• What’s one “unsexy” data trend that you think will quietly dominate in 2025 - and no one is paying enough attention to yet?
• If you had to kill one overused data buzzword or practice before the year ends, what would it be, and what should replace it?
• If you were placing a bold bet on where data is headed in 2025 — technology, talent, AI, governance, anything — what would you bet on, and what do you think would make it succeed or flop?
• What's your most unpopular opinion about where data, AI, or governance is headed — and why do you stand by it?

Speakers:

Ana Roy Head of Merchandise Analytics Kmart

Raja Koushik Data Migration and Governance Manager Kinetic Group

Navin Vishwanath Head of Data Management NAB